The Neural Network Lottery Ticket Hypothesis
The Neural Network Lottery Ticket Hypothesis
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In this work we study the combination of deep reinforcement learning and the lottery ticket hypothesis We focus on two algorithms namely Double Deep Q
The Lottery Ticket Hypothesis assumes there will be smaller, good performing sub-networks, so-called winning tickets Winning tickets in This hypothesis was first verified experimentally, leveraging pruning methods to identify the lottery tickets (Frankle & Carbin, 2019; Lee et al
how to swap phone in slot It is found that later resetting produces stabler winning tickets and that improved stability correlates with higher winning ticket accuracy, which is good Lottery Ticket Hypothesis: Dense, randomly-initialized, feed-forward networks contain subnetworks that when trained in isolation reach test
